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Knowledge Graph Embedding: An Overview

Knowledge Graph Embedding: An Overview

21 September 2023
Xiou Ge
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
ArXivPDFHTML

Papers citing "Knowledge Graph Embedding: An Overview"

21 / 21 papers shown
Title
SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Models
Ali Sarabadani
Kheirolah Rahsepar Fard
Hamid Dalvand
70
0
0
09 Mar 2025
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Guanglin Niu
78
0
0
16 Oct 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
98
3
0
01 Jul 2024
Green Learning: Introduction, Examples and Outlook
Green Learning: Introduction, Examples and Outlook
C.-C. Jay Kuo
A. Madni
85
71
0
03 Oct 2022
HousE: Knowledge Graph Embedding with Householder Parameterization
HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li
Jianan Zhao
Chaozhuo Li
Di He
Yiqi Wang
...
Senzhang Wang
Weiwei Deng
Yanming Shen
Xing Xie
Qi Zhang
46
46
0
16 Feb 2022
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
Jia Guo
Stanley Kok
269
30
0
29 Sep 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
52
4
0
01 Jun 2021
Inductive Learning on Commonsense Knowledge Graph Completion
Inductive Learning on Commonsense Knowledge Graph Completion
Bin Wang
Guangtao Wang
Jing Huang
Jiaxuan You
J. Leskovec
C.-C. Jay Kuo
33
41
0
19 Sep 2020
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link
  Prediction
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
Yanhui Peng
Jing Zhang
KELM
27
27
0
21 Apr 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
276
1,961
0
02 Feb 2020
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang
Jianyu Cai
Yongdong Zhang
Jie Wang
66
386
0
21 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
105
827
0
08 Nov 2019
KG-BERT: BERT for Knowledge Graph Completion
KG-BERT: BERT for Knowledge Graph Completion
Liang Yao
Chengsheng Mao
Yuan Luo
SLR
51
582
0
07 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
602
11,979
0
27 Aug 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge
  Graphs
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani
Jatin Chauhan
Charu Sharma
Manohar Kaul
63
484
0
04 Jun 2019
Multi-relational Poincaré Graph Embeddings
Multi-relational Poincaré Graph Embeddings
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
46
266
0
23 May 2019
ERNIE: Enhanced Language Representation with Informative Entities
ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang
Xu Han
Zhiyuan Liu
Xin Jiang
Maosong Sun
Qun Liu
72
1,390
0
17 May 2019
Differentiating Concepts and Instances for Knowledge Graph Embedding
Differentiating Concepts and Instances for Knowledge Graph Embedding
Xin Lv
Lei Hou
Juan-Zi Li
Zhiyuan Liu
36
90
0
12 Nov 2018
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
137
4,772
0
17 Mar 2017
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
64
3,174
0
20 Dec 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
171
12,384
0
24 Jun 2012
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